Chakrabortty, Abhishek individual record
Assistant Professor

Semi-supervised learning; High dimensional statistics; Semi-parametric inference; Causal inference and missing data; Biomedical applications.

selected publications
Academic Articles12
  • Chakrabortty, A., Dai, G., & Tchetgen, E. T (2022). A General Framework for Treatment Effect Estimation in Semi-Supervised and High Dimensional Settings. arXiv Preprint.
  • Chakrabortty, A., Dai, G., & Carroll, R. J (2022). Semi-Supervised Quantile Estimation: Robust and Efficient Inference in High Dimensional Settings. arXiv Preprint.
  • Roy, S., Kumaravel, S., Sharma, A., Duran, C. L., Bayless, K. J., & Chakraborty, S. (2020). Hypoxic tumor microenvironment: Implications for cancer therapy.. Exp Biol Med (Maywood). 245(13), 1073-1086.
    doi badge pubmed badge
  • Chan, S. F., Hejblum, B. P., Chakrabortty, A., & Cai, T (2020). Semi-supervised estimation of covariance with application to phenome-wide association studies with electronic medical records data.. Stat Methods Med Res. 29(2), 455-465.
    doi badge pubmed badge
in the news
recent teaching activities
First Name
Last Name
mailing address
Dept. of Statistics, Texas A&M University; 155 Ireland Street; Blocker Building, Room 416C
College Station, Texas 77843